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🎯 Recommender Systems
SASRec, Transformers, Sequential Recommenders
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187340
posts in
21.9
ms
Prompt-Unknown Promotion Attacks against LLM-based
Sequential
Recommender
Systems
👥
Collaborative Filtering
arxiv.org
·
2d
Rethinking
Personalization
for the Agent Era, Semantic Recall for Vector Search, and More!
🎲
Recommendation Systems
recsys.substack.com
·
6d
·
Substack
Evaluating complex-valued transformers based on various
architectural
parameters
for image classification
🧮
Vector Databases
sciencedirect.com
·
11h
LLM
Quantization
📦
Parquet
huggingface.co
·
3h
·
Hacker News
Like It or Not —
Recommender
Systems Lack a Coherent
Normative
Foundation
👥
Collaborative Filtering
philsci-archive.pitt.edu
·
2d
How We Use LLM Agents +
CRM
APIs to Auto-Generate
Contextual
Follow-Up Emails
🗂️
Personal CRM
docs.google.com
·
13h
·
DEV
Unveiling
the Hidden Structure of Self-Attention via Kernel
Principal
Component Analysis
🤖
Transformers
proceedings.neurips.cc
·
6d
The
Recurrent
Transformer:
Greater
Effective Depth and Efficient Decoding (5 minute read)
🤖
Transformers
alphaxiv.org
·
2d
(PR)
HyperX
Expands Its Gaming
Peripherals
and Software Ecosystem
🛠️
Feature Engineering
techpowerup.com
·
13h
AI,
Personalization
, & Generative Search: What
eCommerce
Teams Still Get Wrong
🛠️
Feature Engineering
gofishdigital.com
·
2d
MidoriAppleCore/transformers-are-cauchy-poisson
🤖
Transformers
github.com
·
3d
·
r/compsci
Spring Clean Your Customer Data For Consumer
Personalization
Programs
🗂️
Personal CRM
forrester.com
·
1d
Recommender
Systems Need the
Tobacco
Treatment
🎲
Recommendation Systems
klemenvodopivec.substack.com
·
6d
·
Substack
,
r/digitalminimalism
Graph augmented transformers improve
chemotherapy
toxicity
symptom extraction from clinical notes
🤖
Transformers
nature.com
·
2d
The
Sequence
Knowledge #850: The Unexpected Comeback of
RNNs
🧩
Sparse Autoencoders
substackcdn.com
·
2d
·
Substack
How AI Is Transforming
eLearning
: From
Personalization
To Automation
🤖
Machine Learning
elearningindustry.com
·
5d
Notes on
Transformer
Consciousness
🤖
Transformers
lesswrong.com
·
2d
ProMax
: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for
Recommender
Systems
👥
Collaborative Filtering
arxiv.org
·
23h
Reclaiming
Revenue: How Hotels Can Win the Direct Booking Renaissance With a Unified
PMS
🗂️
Personal CRM
hotel-online.com
·
2d
More Than Meets the
Spy
(
SPY
X
FAMILY/Transformers
)
🤖
Transformers
forums.spacebattles.com
·
6d
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